package com.rick.mr.numsort;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.NullWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;

import java.io.IOException;


public class NumSortDriver {

    public static void main(String[] args) throws IOException, ClassNotFoundException, InterruptedException {

        //  1. 获取配置文件对象，获取job对象实例
        final Configuration conf = new Configuration();
        Job job = Job.getInstance(conf, "NumSortDriver");

        // 2. 指定程序jar的本地路径
        job.setJarByClass(NumSortDriver.class);

        // 3. 指定Mapper/Reducer类
        job.setMapperClass(NumSortMapper.class);
        job.setReducerClass(NumSortReducer.class);

        // 4. 指定Mapper输出的kv数据类型
        job.setMapOutputKeyClass(IntWritable.class);
        job.setMapOutputValueClass(NullWritable.class);
        // 5. 指定最终输出的kv数据类型
        job.setOutputKeyClass(Text.class);
        job.setOutputValueClass(NullWritable.class);

        FileInputFormat.setInputPaths(job, new Path("E:\\workspace\\hadoop_test\\第一阶段模块一\\code\\test1\\tmp\\input")); //指定读取数据的原始路径
        // 7. 指定job输出结果路径
        FileOutputFormat.setOutputPath(job, new Path("E:\\workspace\\hadoop_test\\第一阶段模块一\\code\\test1\\tmp\\output")); //指定结果数据输出路径
        // 8. 提交作业
        final boolean flag = job.waitForCompletion(true);
        // jvm退出：正常退出0，非0值则是错误退出
        System.exit(flag ? 0 : 1);

    }
}
